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Research

Current Research Themes​ ​ ​

Visual Synthesis and Interpretable AI with Disentangled Representations
Deep Metric and Representation Learning
Self-Supervised Learning
Behavior Analysis & its Interdisciplinary Applications
Computer Vision in the Digital Humanities

News

Open PhD and PostDoc Positions

2021

  • PLOS ONE article on Interactive Retrieval in Art Collections

  • T-PAMI article accepted on Improving Deep Metric Learning by Divide and Conquer

  • 2 papers accepted at NeurIPS'21 on:
    • • Multinomial Diffusion for Improving Autoregressive Image Synthesis
    • Analyzing OOD Generalization in Deep Metric Learning

  • 3 papers accepted at ICCV'21 on:
    • Transformers for Geometry-Free 3D Novel-View Synthesis
    • iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis
    • Self-Supervised LiDAR Scene Flow and Motion Segmentation (ORAL)

  • 6 papers accepted at CVPR'21 on:
    • • Taming Transformers for Hi-Res Image Synthesis
    • Understanding Object Dynamics for Interactive Video Synthesis
    • Stochastic Image-to-Video Synthesis
    • Stroke-based Style Transfer
    • Behavior-driven Synthesis of Human Dynamics
    • Learning Exposure Correction

  • Best Paper Award at CVPR'21—AI for Content Creation WS on:
    • • High-Res Complex Scene Synthesis with Transformers

  • ICML'21 paper accepted on self-distillation for deep metric learning

  • ICRA'21 paper accepted on 3D object detection

  • Nature Machine Intelligencearticle on unsupervised behavior analysis & magnification (uBAM) for biomedical diagnostics

    • 2020

  • NeurIPS'20 ORAL on cINNs for Network-to-Network Translation

  • T-PAMI publication accepted on
    • Shared feature learning for Deep Metric Learning

  • PLoS ONE publication on weakly supervised transliteration alignment for cuneiform sign detection

  • GCPR'20 ORAL on unsupervised part learning by disentangling

  • 2 papers accepted at ECCV'20 on:
    • Explainable AI and semantic image manipulation
    • Deep Metric Learning beyond discriminative features

  • ICML'20 paper accepted on
    • Generalization in Deep Metric Learning

  • Best Paper Award at CVPR'20—AI for Content Creation WS on
    • Interpretable Models for Visual Synthesis

  • 3 papers accepted at CVPR'20 on:
    • Explainable AI
    • Reinforcement Learning for Deep Metric Learning
    • Unsupervised Behavior Analytics

    • 2019

  • 3 papers accepted at ICCV'19

  • Best paper finalist at CVPR'19

  • 3 papers accepted at CVPR'19
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